Eric F. Darve

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Monte Carlo Methods

Information Retrieval And Extraction

Top Venues

AAAI Spring Symposium: MLPS

Publications

Natalia L. Rubio, Luca Pegolotti, Martin R. Pfaller, Eric F. Darve, Alison L. Marsden
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences. CoRR (2024)
Dhruv V. Patel, Jonghyun Lee, Matthew W. Farthing, Peter K. Kitanidis, Eric F. Darve
Multi-fidelity Hamiltonian Monte Carlo. CoRR (2024)
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
Preface. AAAI Spring Symposium: MLPS (2021)
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
Deep learning-based fast solver of the shallow water equations. CoRR (2021)
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. CoRR (2021)
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric F. Darve
Application of deep learning to large scale riverine flow velocity estimation. CoRR (2020)
Jonghyun Lee, Eric F. Darve, Peter K. Kitanidis, Matthew W. Farthing, Tyler J. Hesser
Preface. AAAI Spring Symposium: MLPS (2020)
Yizhou Qian, Hojat Ghorbanidehno, Matthew W. Farthing, Ty Hesser, Peter K. Kitanidis, Eric F. Darve
Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements. AAAI Spring Symposium: MLPS (2020)